Sharareh R. Niakan Kalhori
Sharareh R. Niakan Kalhori
Associate Professor of Medical Informatics at Tehran University of Medical Sciences
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Cited by
Cited by
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study
SM Ayyoubzadeh, SM Ayyoubzadeh, H Zahedi, M Ahmadi, ...
JMIR Public Health Surveill 6 (2), 1-9, 2020
Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases.
M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji
International Journal of Electrical & Computer Engineering (2088-8708) 5 (6), 2015
Application of Spatio-temporal Model to Estimate Burden of Diseases, Injuries and Risk Factors in Iran 1990 – 2013
Mahboubeh Parsaeian, Farshad Farzadfar, Hojjat Zeraati, Mahmood Mahmoudi ...
Archives of Iranian Medicine 17 (01), 28-32, 2014
Criteria for assessing the quality of mHealth apps: a systematic review
R Nouri, SR Niakan Kalhori, M Ghazisaeedi, G Marchand, M Yasini
Journal of the American Medical Informatics Association, 2018
Bayesian Autoregressive Multilevel Modeling of Burden of Diseas-es, Injuries and Risk Factors in Iran 1990–2013
Archives of Iranian medicine 17 (1), 22, 2014
A clinical decision support system for prediction of pregnancy outcome in pregnant women with systemic lupus erythematosus
K Paydar, SRN Kalhori, M Akbarian, A Shiekhtaheri
International Journal of Medical Informatics 11 (1), 2016
Prevalence of stroke risk factors and their distribution based on stroke subtypes in Gorgan: a retrospective hospital-based study—2015-2016
M Habibi-Koolaee, L Shahmoradi, SR Niakan Kalhori, H Ghannadan, ...
Neurology research international 2018, 2018
Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods
E Mousavinasab, N Zarifsanaiey, S R. Niakan Kalhori, M Rakhshan, ...
Journal of Interactive Learning Environments, …, 2018
A logistic regression model to predict high risk patients to fail in tuberculosis treatment course completion
S R Niakan Kalhori, M Nasehi, XJ Zeng
IAENG International Journal of Applied Mathematics 40 (2), 102-107, 2010
Inpatient Data, Inevitable Need for Policy Making at National and Sub-national levels: A Lesson Learned from NASBOD
*Sharareh R NiakanKalhori, Batool Tayefi, Atefe Noori, Marziye Mearaji ...
Archives of Iranian Medcine 17 (01), 16-21, 2014
A Comparative Study of Perceived Social Support and Self-Efficacy among Women with Wanted and Unwanted Pregnancy
P Shahry, S R. Niakan Kalhori, A Esfandiyari, F Zamani-Alavijeh
International Journal of Community Based Nursing and Midwifery (IJCBNM) 4 (2 …, 2016
Evaluation and comparison of different machine learning methods to predict outcome of tuberculosis treatment course
SRN Kalhori, XJ Zeng
Scientific Research Publishing, 2013
Comparison of neural network training algorithms for classification of heart diseases
H Karim, SR Niakan, R Safdari
IAES International Journal of Artificial Intelligence 7 (4), 185, 2018
Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System
H Maharlou, SR Niakan Kalhori, S Shahbazi, R Ravangard
Healthcare Informatics Research 24 (2), 109-117, 2018
Prevalence of and risk factors for multidrug-resistant tuberculosis in Iran and its neighboring countries: systematic review and meta-analysis
W Jimma, M Ghazisaeedi, L Shahmoradi, AA Abdurahman, SRN Kalhori, ...
Revista da Sociedade Brasileira de Medicina Tropical 50, 287-295, 2017
Web and Mobile Based HIV Prevention and Intervention Programs Pros and Cons-A Review
S Niakan, E Mehraeen, T Noori, E Gozali
Study of Health Technoly Informtion 236 (1), 319-327, 2017
Study of challenges to utilise mobile-based health care monitoring systems: A descriptive literature review
T Baniasadi, S R. Niakan Kalhori, SM Ayyoubzadeh, S Zakerabasali, ...
Journal of Telemedicine and Telecare 24 (10), 661–668, 2018
Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods
S Abhari, S R. Niakan Kalhori, M Ebrahimi, H Hasannejadasl, A Garavand
Healthcare Informatics Research 25 (4), 248-261, 2019
Nursing students motivations and satisfaction, Do the motivation and satisfaction of nursing students change during their study years?
A Shakurnia, H Alijani, N Khajeali, S R. NiakanKalhori
Journal of Health, Medicine and Nursing 13, 28-35, 2015
Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems
M Fallah, S R. Niakan Kalhori
Healthcare Informatics Research 23 (04), 262-270, 2017
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